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In this paper, we propose a method for minimization of segmentation model for vector-valued texture images. The texture in the image will be smooth by using $L_0$ gradient norm and then the segmentation model will be minimized through sobolev gradient for fast convergence. The better performance of the method will observed from the experimental results. Results of the proposed method are compared with $L^2$ gradients.
This presentation is part of Contributed Presentation “CP2 - Contributed session 2”